🤖 Gemini AI ChatBot

An interactive AI-powered chatbot built using Google Gemini API and Streamlit. This project allows users to chat with Google’s Gemini model through a clean and responsive web interface.

---

🚀 Features

• 💬 Real-time chat with Google Gemini AI
• 🧠 Context-aware responses using session history
• 🎨 Clean UI using Streamlit theme configuration
• 🔐 Secure API key handling using .env file
• ⚡ Lightweight and easy to run locally

---

🛠️ Tech Stack

• Python
• Streamlit
• Google Gemini API
• python-dotenv

---

📁 Project Structure

GeminiAI_ChatBot/
│
├── app.py
├── requirements.txt
├── .env
├── .streamlit/
│   └── config.toml
└── README.md

---

🔑 Prerequisites

• Python 3.9 or higher
• A Google Gemini API key

👉 Get your API key from: https://ai.google.dev/

---

⚙️ Installation & Setup

1️⃣ Clone the Repository

git clone https://github.com/srinidhi-2006-bit/GeminiAI_ChatBot.git
cd Gemini_ChatBot

---

2️⃣ Create Virtual Environment (Optional but Recommended)

python -m venv venv
venv\Scripts\activate   # Windows

---

3️⃣ Install Dependencies

pip install -r requirements.txt

---

4️⃣ Create .env File

In the project root, create a file named .env and add:

GEMINI_API_KEY=your_api_key_here
---

### 5️⃣ Streamlit Theme Configuration (Optional)

Create a folder `.streamlit` and inside it create `config.toml`:

```toml
[theme]
primaryColor = "#4F46E5"
backgroundColor = "#0E1117"
secondaryBackgroundColor = "#262730"
textColor = "#FAFAFA"
font = "sans serif"

---

6️⃣ Run the Application

streamlit run app.py

Open in browser: 👉 http://localhost:8501

---

🧪 Sample Usage

• Type a greeting like “Hi”

• Ask questions like:

  • What is Artificial Intelligence?
  • Explain machine learning in simple terms
  • What are the latest AI trends?

---

⚠️ API Quota & Billing Note

If you encounter an error like:

RESOURCE_EXHAUSTED (429)

It means:

• You have reached the free-tier quota limit
• Please wait and retry, or
• Enable billing in Google AI Studio for higher usage limits

🔗 More info: https://ai.google.dev/gemini-api/docs/rate-limits

---